AI Trainer; Life Sciences

Pay: $60–$120/hour equivalent, paid per accepted task

Location:

Global, fully remote

Job Type: Contractor

Time Commitment: 15+ hours per week

Schedule:

Flexible

• Create realistic computational life-science tasks that challenge advanced AI models.
• Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
• Evaluate model-generated code, analyses, models, experiments, and technical deliverables.
• Identify invalid biological assumptions, methodological errors, data leakage, statistical issues, or reproducibility failures.

• Prior paid experience training, evaluating, benchmarking, or improving AI systems on scientific or technical tasks.
• Strong practical proficiency with Python.
• Deep expertise in at least one relevant life-science specialization.
• Hands-on experience using computational methods for modeling, simulation, bioinformatics, biomedical analysis, statistics, or reproducible research.

Relevant specializations may include biology, computational biology, bioinformatics, medicine and health, biomedical science, neuroscience, genomics, ecology, and evolution.

• Peer-reviewed publications or preprints involving computational methods
• Public research code or bioinformatics pipelines
• Google Scholar, ORCID, or equivalent research profiles
• Physio Net or other biomedical competition results
• Open-source scientific software contributions
• Public datasets, models, notebooks, or technical projects

• Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems.
• Experience reviewing other AI trainers’ technical submissions.
• Experience with Num Py, Sci Py, pandas, Biopython, PyTorch, JAX, or comparable scientific tools.
• Prior experience with long-horizon or agentic AI evaluations.
• Availability to begin immediately.

Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.